Academic literature on the topic 'Electrical source imaging (ESI)'

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Journal articles on the topic "Electrical source imaging (ESI)"

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Rampp, Stefan, Nadia Müller-Voggel, Hajo Hamer, Arnd Doerfler, Sebastian Brandner, and Michael Buchfelder. "Interictal Electrical Source Imaging." Journal of Clinical Neurophysiology 41, no. 1 (2023): 19–26. http://dx.doi.org/10.1097/wnp.0000000000001012.

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Summary: Interictal electrical source imaging (ESI) determines the neuronal generators of epileptic activity in EEG occurring outside of seizures. It uses computational models to take anatomic and neuronal characteristics of the individual patient into account. The presented article provides an overview of application and clinical value of interictal ESI in patients with pharmacoresistant focal epilepsies undergoing evaluation for surgery. Neurophysiological constraints of interictal data are discussed and technical considerations are summarized. Typical indications are covered as well as issu
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Thurairajah, Arun. "Role of Electrical Source Imaging in Pediatric Epilepsy and Pre-Surgical Evaluation." Sciential - McMaster Undergraduate Science Journal, no. 6 (April 12, 2021): 10–14. http://dx.doi.org/10.15173/sciential.vi6.2645.

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Children with drug-resistant epilepsy undergo an extensive pre-surgical evaluation to determine the part of the brain thought to be the cause of seizures. The employment of non-invasive diagnostic imaging tools plays an important role in establishing surgical candidacy, preventing the need for invasive procedures. Electrical source imaging (ESI) has been explored as a modern alternative to traditional diagnostic techniques in pre-surgical workup. Through computational analysis of recorded electric potentials and individualized head scans, ESI provides a non-invasive method of obtaining more ac
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Zorzos, Ioannis, Ioannis Kakkos, Errikos M. Ventouras, and George K. Matsopoulos. "Advances in Electrical Source Imaging: A Review of the Current Approaches, Applications and Challenges." Signals 2, no. 3 (2021): 378–91. http://dx.doi.org/10.3390/signals2030024.

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Brain source localization has been consistently implemented over the recent years to elucidate complex brain operations, pairing the high temporal resolution of the EEG with the high spatial estimation of the estimated sources. This review paper aims to present the basic principles of Electrical source imaging (ESI) in the context of the recent progress for solving the forward and the inverse problems, and highlight the advantages and limitations of the different approaches. As such, a synthesis of the current state-of-the-art methodological aspects is provided, offering a complete overview of
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Khosropanah, Pegah, Eric Tatt-Wei Ho, Kheng-Seang Lim, Si-Lei Fong, Minh-An Thuy Le, and Vairavan Narayanan. "EEG Source Imaging (ESI) utility in clinical practice." Biomedical Engineering / Biomedizinische Technik 65, no. 6 (2020): 673–82. http://dx.doi.org/10.1515/bmt-2019-0128.

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AbstractEpilepsy surgery is an important treatment modality for medically refractory focal epilepsy. The outcome of surgery usually depends on the localization accuracy of the epileptogenic zone (EZ) during pre-surgical evaluation. Good localization can be achieved with various electrophysiological and neuroimaging approaches. However, each approach has its own merits and limitations. Electroencephalography (EEG) Source Imaging (ESI) is an emerging model-based computational technique to localize cortical sources of electrical activity within the brain volume, three-dimensionally. ESI based pre
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Sadeghzadeh, P., A. Thurairajah, A. Freibauer, et al. "D.5 Low density scalp electrical source imaging of the ictal onset zone network using source coherence maps." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 51, s1 (2024): S10. http://dx.doi.org/10.1017/cjn.2024.96.

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Background: This study investigates the utility of low-density scalp electrical source imaging (LD-ESI) of the Ictal Onset Zone (IOZ) and interictal spike ripple high frequency oscillation (ISRHFO) networks using Source Coherence Maps (SCM) in the surgical evaluation of children with medically refractory epilepsy. Invasive intracranial monitoring, the gold standard for determining epileptogenic zones, has limited spatial sampling. SCM presents a promising new non-invasive diagnostic technique. Methods: This was a retrospective review of 11 patients who underwent focal resections. SCMs were gen
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Peters, Jurriaan M., Catherine J. Chu, Merel Boom, et al. "F162. Lesion-Constrained Electrical Source Imaging (LC-ESI) in epilepsy surgery for tuberous sclerosis complex: A pilot study." Clinical Neurophysiology 129 (May 2018): e128-e129. http://dx.doi.org/10.1016/j.clinph.2018.04.325.

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Quintiliani, Michela, Federico Bianchi, Filomena Fuggetta, et al. "Role of high-density EEG (hdEEG) in pre-surgical epilepsy evaluation in children: case report and review of the literature." Child's Nervous System 37, no. 5 (2021): 1429–37. http://dx.doi.org/10.1007/s00381-021-05069-z.

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Abstract Introduction Electrical source imaging (ESI) and especially hdEEG represent a noninvasive, low cost and accurate method of localizing epileptic zone (EZ). Such capability can greatly increase seizure freedom rate in surgically treated drug resistant epilepsy cases. Furthermore, ESI might be important in intracranial record planning. Case report We report the case of a 15 years old boy suffering from drug resistant epilepsy with a previous history of DNET removal. The patient suffered from heterogeneous seizure semiology characterized by anesthesia and loss of tone in the left arm, twi
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Maziero, Danilo, Marcio Sturzbecher, Tonicarlo Rodrigues Velasco, et al. "A Comparison of Independent Component Analysis (ICA) of fMRI and Electrical Source Imaging (ESI) in Focal Epilepsy Reveals Misclassification Using a Classifier." Brain Topography 28, no. 6 (2015): 813–31. http://dx.doi.org/10.1007/s10548-015-0436-4.

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Rikir, Estelle, Laurent Koessler, Martine Gavaret, et al. "Electrical source imaging in cortical malformation-related epilepsy: A prospective EEG-SEEG concordance study." Epilepsia 55, no. 6 (2014): 918–32. http://dx.doi.org/10.1111/epi.12591.

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Comas, X., N. Terry, L. Slater, et al. "Imaging tropical peatlands in Indonesia using ground penetrating radar (GPR) and electrical resistivity imaging (ERI): implications for carbon stock estimates and peat soil characterization." Biogeosciences Discussions 12, no. 1 (2015): 191–229. http://dx.doi.org/10.5194/bgd-12-191-2015.

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Abstract. Current estimates of carbon (C) storage in peatland systems worldwide indicate tropical peatlands comprise about 15% of the global peat carbon pool. Such estimates are uncertain due to data gaps regarding organic peat soil thickness and C content. Indonesian peatlands are considered the largest pool of tropical peat carbon (C), accounting for an estimated 65% of all tropical peat while being the largest source of carbon dioxide emissions from degrading peat worldwide, posing a major concern regarding long-term sources of greenhouse gases to the atmosphere. We combined a set of indire
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Dissertations / Theses on the topic "Electrical source imaging (ESI)"

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Ištok, Martin. "Analýza simultánně měřených EEG/fMRI dat s využitím zpracování EEG signálu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221335.

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The main objective of this diploma thesis is to describe simultaneous electroencephalography-correlated functional magnetic resonance imaging analysis using EEG data processing. It includes basic characteristics of EEG and fMRI recording and analysis and their combination as simultaneous EEG/fMRI analysis and deals with obstructions during its processing. The thesis includes a design of an experiment used for recording and analysis of simultaneous EEG/fMRI data using EEG source reconstruction for regressor construction. Thesis incorporates a software solution used for extraction of signal desc
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Tilg, Bernhard. "Noninvasive functional cardiac electrical source imaging /." Aachen : Shaker, 1998. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015159658&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Roman, Alex. "Open-Source Test-Bench Design for Applications in AutonomousUltrasound Imaging." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1553879717367924.

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Enwia, George P. "OPEN-SOURCE MINIATURIZED TEST-BENCH DESIGN FOR APPLICATIONS IN WEARABLE AUTONOMOUS ULTRASOUND IMAGING." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1575566958796729.

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Parsons, Aaron D. "Coherent diffraction imaging using a high harmonic source at 40 eV." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/370609/.

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This thesis presents the current status of coherent diffractive imaging and ptychography using the high harmonic at the University of Southampton. The full system used to generate the 40 eV radiation and collect the far-field speckle patterns is outlined and critical criteria discussed. The algorithms used to re-phase the data are outlined and some simple 1-dimensional examples are given. The question of how to appropriately state the resolution of a coherent diffraction system is addressed and the concluding results are applied to the work in the experimental chapters, of which this thesis co
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Zimnicki, James John. "Spatial Heterodyne Imaging Using a Broadband Source." University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1519143422981263.

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Yiu, Patrick (Patrick Wai-Kit). "High speed swept source optical coherence tomography handheld instrument at 1310nm for point-of-care imaging." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115735.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>Optical coherence tomography (OCT) is a novel biomedical imaging technique that functions as a type of "optical biopsy" by using low coherence interferometry to non-invasively generate high resolution cross-sectional images of tissue in real time. OCT has become a standard diagnostic tool in ophthalmology and investigators have demonstrated OCT in a variety of biomedical applications including c
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Ahi, Sercan Taha. "Solving The Forward Problem Of Electrical Source Imaging By Applying The Reciprocal Approach And The Finite Difference Method." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608717/index.pdf.

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One of the goals of Electroencephalography (EEG) is to correctly localize brain activities by the help of voltage measurements taken on scalp. However, due to computational difficulties of the problem and technological limitations, the accuracy level of the activity localization is not perfect and should be improved. To increase accuracy level of the solution, realistic, i.e. patient dependent, head models should be created. Such head models are created via assigning realistic conductivity values of head tissues onto realistic tissue positions. This study initially focuses on obtaining patien
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Ataseven, Yoldas. "Parallel Implementation Of The Boundary Element Method For Electromagnetic Source Imaging Of The Human Brain." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606548/index.pdf.

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Human brain functions are based on the electrochemical activity and interaction of the neurons constituting the brain. Some brain diseases are characterized by abnormalities of this activity. Detection of the location and orientation of this electrical activity is called electro-magnetic source imaging (EMSI) and is of signicant importance since it promises to serve as a powerful tool for neuroscience. Boundary Element Method (BEM) is a method applicable for EMSI on realistic head geometries that generates large systems of linear equations with dense matrices. Generation and solution of these
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Maziero, Danilo. "Localizing and studying epileptogenic sources in patients with focal epilepsy in pre-surgical planning." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/59/59135/tde-27072016-151155/.

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The simultaneous acquisitions of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have been applied to improve the surgery planning of patients with drug resistant epilepsy. However, the classical approach of analyzing the EEG-fMRI data is inefficient in patients whom only few or non interictal epileptiforms discharges (IEDs) are detected during the simultaneous acquisition. Another issue of EEG-fMRI acquisition is related to its high sensitivity to motion, which decreases the quality of both data, even worse in non-cooperative patients. In this work we propose and
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Books on the topic "Electrical source imaging (ESI)"

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Seeck, Margitta, L. Spinelli, Jean Gotman, and Fernando H. Lopes da Silva. Combination of Brain Functional Imaging Techniques. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0046.

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Several tools are available to map brain electrical activity. Clinical applications focus on epileptic activity, although electric source imaging (ESI) and electroencephalography-coupled functional magnetic resonance imaging (EEG–fMRI) are also used to investigate non-epileptic processes in healthy subjects. While positron-emission tomography (PET) reflects glucose metabolism, strongly linked with synaptic activity, and single-photon-emission computed tomography (SPECT) reflects blood flow, fMRI (BOLD) signals have a hemodynamic component that is a surrogate signal of neuronal (synaptic) activ
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Book chapters on the topic "Electrical source imaging (ESI)"

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Jiao, Meng, Shihao Yang, Boyu Wang, et al. "MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging." In Brain Informatics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43075-6_24.

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Wang, Yan-Hui, Jian-Zhou Mao, and Zhi-Hong Xiu. "Researches on the Laser-Induced Sound as the Sound Source of Imaging Sonar." In Electrical, Information Engineering and Mechatronics 2011. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_153.

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Pascual-Marqui, Roberto D., Rolando Biscay Lirio, and Pedro A. Valdés-Sosa. "The Physical Basis of Electrophysiological Brain Imaging: Exploratory Techniques for Source Localization and Waveshape Analysis of Functional Components of Electrical Brain Activity." In Machinery of the Mind. Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4757-1083-0_22.

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Gohel, Bakul. "Co-registration of the Digitised Sensor Information and the Brain MRI Scan for Electrical Source Imaging: Fiducial-Based Alignment Versus ICP-Based Approach." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4284-8_38.

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Steffel, Jan. "Electromagnetic interference in pacemaker patients." In ESC CardioMed, edited by Giuseppe Boriani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0466_update_001.

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In spite of the development of specific shielding of electronic devices as well as the current-day preference for bipolar sensing, electromagnetic interference (EMI) may still occur with certain pacemakers in certain settings, which in turn may lead to false inhibition of ventricular stimulation with potentially fatal consequences. The most important sources of clinically relevant EMI include medical diagnostics and therapy (e.g. magnetic resonance imaging, radiofrequency ablation, cardioversion/defibrillation, and electrocautery), the working environment (including high-power lines, combustio
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Narendra Kumar Rao, B., and G. Sailaja. "Brain Interaction Assessment Using EEG Source Localization." In Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2105-8.ch008.

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In standardized low-resolution brain electromagnetic tomography (SLORETA), the electrical activity recorded by the electroencephalogram (EEG) electrodes, is transformed into a three-dimensional source distribution within the brain. It helps us in understanding the internal details of human brain and its working. It helps us in visualizing and analyzing the activity of the brain electrically with exceptional precision. The EEG recordings along with mathematical algorithms (advanced) help in reconstruction of neural foundational blocks for the recorded brain signals. This transformation is achie
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Hacıoğlu, Özlem. "Imaging Subvolcanic Structures by Magnetotellurics." In A Comprehensive Study of Volcanic Phenomena [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1007593.

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The generation of magma beneath volcanic edifices is a long-lived dynamic phenomenon that shapes the volcanic environment and can trigger eruptions. Analog and theoretical modeling are valuable tools used in the study of volcanic areas to better understand the processes driving volcanic activity, the behavior of volcanic systems, and the formation of volcanic structures. However, results obtained from analog and theoretical models and field studies need to be critically assessed against those obtained from other methods. Magnetotellurics (MT), a geophysical method that allows for the detailed
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Duru, Adil Deniz, Ali Bayram, Tamer Demiralp, and Ahmet Ademoglu. "Source Localization of Subtopographic Brain Maps for Event Related Potentials (ERP)." In Encyclopedia of Healthcare Information Systems. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-889-5.ch156.

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Event-related potentials (ERP) are transient brain responses to cognitive stimuli, and they consist of several stationary events whose temporal frequency content can be characterized in terms of oscillations or rhythms. Precise localization of electrical events in the brain, based on the ERP data recorded from the scalp, has been one of the main challenges of functional brain imaging. Several currentDensity estimation techniques for identifying the electrical sources generating the brain potentials are developed for the so-called neuroelectromagnetic inverse problem in the last three decades (
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Barbosa, Valter Augusto de Freitas, Wellington Pinheiro dos Santos, Ricardo Emmanuel de Souza, et al. "Image Reconstruction of Electrical Impedance Tomography Using Fish School Search and Differential Evolution." In Critical Developments and Applications of Swarm Intelligence. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5134-8.ch012.

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Electrical impedance tomography (EIT) is a noninvasive imaging technique that does not use ionizing radiation with application both in environmental sciences and in health. Image reconstruction is performed by solving an inverse problem and ill-posed. Evolutionary and bioinspired computation have become a source of methods for solving inverse problems. In this chapter, the authors investigate the performance of fish school search (FSS) and differential evolution (DE) using non-blind search (NBS) considering meshes of 415, 3190, and 9990 finite elements. The methods were evaluated using numeric
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Barbosa, Valter A. F., Reiga R. Ribeiro, Allan R. S. Feitosa, et al. "Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm." In Biotechnology. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8903-7.ch082.

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Electrical Impedance Tomography (EIT) is a noninvasive imaging technique that does not use ionizing radiation, with application both in environmental sciences and in health. Image reconstruction is performed by solving an inverse problem and ill-posed. Evolutionary Computation and Swarm Intelligence have become a source of methods for solving inverse problems. Fish School Search (FSS) is a promising search and optimization method, based on the dynamics of schools of fish. In this article the authors present a method for reconstruction of EIT images based on FSS and Non-Blind Search (NBS). The
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Conference papers on the topic "Electrical source imaging (ESI)"

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Bonifacio, C. S., R. Li, M. L. Ray, P. E. Fischione, and William Hubbard. "Enhanced TEM Specimen Preparation for STEM-EBIC Analysis Using a Ga FIB system Followed by Post-FIB Ar Ion Beam Milling." In ISTFA 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0191.

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Abstract Electrical characterization is a critical step in the failure analysis workflow, a sequence that often ends in high-resolution imaging in the transmission electron microscope (TEM). Scanning TEM electron beam-induced current (STEM EBIC) is a technique that effectively combines these methods by performing electrical characterization at each imaging pixel, with the electron beam acting as a local current source. This work highlights the specimen preparation technique using the Ga FIB system followed by post-FIB Ar ion milling for STEM EBIC analysis. We present STEM EBIC as a technique t
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Zarafshani, Ali, Thomas Bach, Chris Chatwin, Liangzhong Xiang, and Bin Zheng. "Current source enhancements in Electrical Impedance Spectroscopy (EIS) to cancel unwanted capacitive effects." In SPIE Medical Imaging, edited by Andrzej Krol and Barjor Gimi. SPIE, 2017. http://dx.doi.org/10.1117/12.2254629.

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Tilg, Bernhard, Robert Modre, Gerald Fischer, et al. "Noninvasive functional cardiac electrical source imaging: combining MRI and ECG mapping for imaging electrical function." In Medical Imaging 2002, edited by Anne V. Clough and Chin-Tu Chen. SPIE, 2002. http://dx.doi.org/10.1117/12.463622.

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Wang, Zhaohui, Pier Ingram, Ragnar Olafsson, Qian Li, and Russell S. Witte. "Detection of multiple electrical sources in tissue using ultrasound current source density imaging." In SPIE Medical Imaging, edited by Jan D'hooge and Stephen A. McAleavey. SPIE, 2010. http://dx.doi.org/10.1117/12.844657.

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S'heeren, Griet. "Eternal triangle: the interaction of light source, electrical control gear, and optics." In Photonics West '98 Electronic Imaging, edited by Ming H. Wu. SPIE, 1998. http://dx.doi.org/10.1117/12.305535.

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Koudelka, Vlastimil, Stanislav Jiricek, Vaclava Piorecka, et al. "Electrical Source Imaging in Rats: Cortical EEG Performance and Limitations." In 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi). IEEE, 2018. http://dx.doi.org/10.1109/cemi.2018.8610587.

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Person, C., L. Koessler, V. Louis-Dorr, D. Wolf, L. Maillard, and P. Y. Marie. "Analysis of the relationship between interictal electrical source imaging and PET hypometabolism." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5627512.

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Miller, Carlyle, Partha Routh, Paul Donaldson, and Douglas Oldenburg. "Electrical conductivity imaging using controlled source electromagnetics for subsurface fluid flow characterization." In SEG Technical Program Expanded Abstracts 2004. Society of Exploration Geophysicists, 2004. http://dx.doi.org/10.1190/1.1851088.

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Qi*, Zhipeng, He Li, Xiu Li, and Yingying Zhang. "Imaging subsurface using multi-source semi-airborne TEM data." In GEM 2019 Xi'an: International Workshop and Gravity, Electrical & Magnetic Methods and their Applications, Chenghu, China, 19-22 April 2015. Society of Exploration Geophysicists and Chinese Geophysical Society, 2019. http://dx.doi.org/10.1190/gem2019-091.1.

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Qian, Lin, Yang Jingjing, Ma Jinliang, et al. "Acoustic Imaging Detection Technology of Electrical Equipment Based on Passive Sound Source Ranging." In 2023 Panda Forum on Power and Energy (PandaFPE). IEEE, 2023. http://dx.doi.org/10.1109/pandafpe57779.2023.10140722.

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